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//! Palindromic Strang split for commuting graph Chernoff kernels.
//!
//! `S(τ) f = A(τ/2) ∘ B(τ) ∘ A(τ/2) · f` on `GraphSignal<F>`.
//!
//! **Commutativity is a precondition, not a verified property.** Two safe
//! constructors (`new_bipartite_path`, `new_bipartite_cycle`) build
//! guaranteed-commuting decompositions by edge-parity 2-coloring. The generic
//! constructor `new(a, b, commutes_axiomatically: bool)` requires the caller
//! to opt in via the boolean flag.
//!
//! See math.md §12.8 (NORMATIVE), ADR-0012 (palindromic Strang pattern), and
//! Wave 2.1B contract §3.
//!
//! ## Zero-alloc R4 mitigation
//!
//! The naive `src.clone()` pattern allocates a `Vec<F>` per leg and violates
//! the zero-alloc steady-state invariant. Instead, `apply_into` uses
//! `ScratchPool::take_graph_buf` / `return_graph_buf` to borrow and return
//! pool-owned buffers wrapped in transient `GraphSignal`s.
use alloc::{sync::Arc, vec::Vec};
use crate::{
chernoff::{ChernoffFunction, Growth},
error::SemiflowError,
float::{half, SemiflowFloat},
graph::{Graph, Laplacian},
graph_heat::GraphHeatChernoff,
graph_signal::GraphSignal,
scratch::ScratchPool,
state::State,
};
// ---------------------------------------------------------------------------
// StrangSplitGraph<A, B, F>
// ---------------------------------------------------------------------------
/// Palindromic Strang split for two commuting graph Chernoff kernels.
///
/// `S(τ) f = A(τ/2) ∘ B(τ) ∘ A(τ/2) · f` on `GraphSignal<F>`.
///
/// **Commutativity is a precondition.** See [`Self::new_bipartite_path`] and
/// [`Self::new_bipartite_cycle`] for safe constructors. The generic
/// [`Self::new`] constructor requires `commutes_axiomatically = true` for the
/// palindromic order-2 guarantee.
///
/// See math.md §12.8 (NORMATIVE) and ADR-0012.
#[derive(Clone, Debug)]
pub struct StrangSplitGraph<A, B, F: SemiflowFloat = f64>
where
A: ChernoffFunction<F, S = GraphSignal<F>> + Clone,
B: ChernoffFunction<F, S = GraphSignal<F>> + Clone,
{
a: A,
b: B,
/// Caller-attested commutativity. `true` ⇒ order-2; `false` ⇒ order-1.
commutes: bool,
_phantom: core::marker::PhantomData<F>,
}
impl<A, B, F: SemiflowFloat> StrangSplitGraph<A, B, F>
where
A: ChernoffFunction<F, S = GraphSignal<F>> + Clone,
B: ChernoffFunction<F, S = GraphSignal<F>> + Clone,
{
/// Generic constructor with explicit commutativity attestation.
///
/// `commutes_axiomatically = true` ⇒ caller asserts `[L_A, L_B] = 0` and
/// the palindromic product achieves order-2.
/// `commutes_axiomatically = false` ⇒ Lie-Trotter-style splitting at
/// order-1 (BCH residue not cancelled).
pub fn new(a: A, b: B, commutes_axiomatically: bool) -> Self {
Self {
a,
b,
commutes: commutes_axiomatically,
_phantom: core::marker::PhantomData,
}
}
/// `[doc(hidden)]` accessor for testing the inner kernels' Laplacians.
#[doc(hidden)]
pub fn test_only_kernels(&self) -> (&A, &B) {
(&self.a, &self.b)
}
}
// ---------------------------------------------------------------------------
// Safe constructors for GraphHeatChernoff<F> specialisation
// ---------------------------------------------------------------------------
impl<F: SemiflowFloat> StrangSplitGraph<GraphHeatChernoff<F>, GraphHeatChernoff<F>, F> {
/// **Safe constructor**: build a guaranteed-commuting Strang split for a
/// path graph `P_n` by edge-parity 2-coloring.
///
/// - A-edges (red): `(0,1), (2,3), (4,5), …` (even-indexed undirected edges).
/// - B-edges (black): `(1,2), (3,4), (5,6), …` (odd-indexed).
///
/// Both Laplacians are block-diagonal on DISJOINT node pairs ⇒ commute.
///
/// # Errors
/// [`SemiflowError::DomainViolation`] if `graph.n_nodes() < 2`.
#[allow(clippy::cast_precision_loss)] // n < 2^53 in all practical graph sizes
pub fn new_bipartite_path(graph: &Arc<Graph<F>>) -> Result<Self, SemiflowError> {
let n = graph.n_nodes();
if n < 2 {
return Err(SemiflowError::DomainViolation {
what: "StrangSplitGraph::new_bipartite_path: n_nodes >= 2 required",
value: n as f64,
});
}
let (lap_a, lap_b) = split_path_laplacians(graph);
// Use order-2 (with_zeta_a) sub-kernels so the palindromic product
// achieves global order-2 convergence. With order-1 sub-kernels the
// local error is O(τ²) giving only global order-1; order-2 sub-kernels
// give local error O(τ³) so the palindromic cancellation yields
// global order-2. See math.md §12.8 (NORMATIVE).
let a = GraphHeatChernoff::with_zeta_a(Arc::new(lap_a));
let b = GraphHeatChernoff::with_zeta_a(Arc::new(lap_b));
Ok(Self {
a,
b,
commutes: true,
_phantom: core::marker::PhantomData,
})
}
/// **Safe constructor**: build a guaranteed-commuting Strang split for an
/// **even-length** cycle graph `C_n` by edge-parity 2-coloring.
///
/// # Errors
/// [`SemiflowError::DomainViolation`] if `graph.n_nodes() < 4` or
/// `graph.n_nodes() % 2 != 0` (odd cycles are not bipartite).
#[allow(clippy::cast_precision_loss)] // n < 2^53 in all practical graph sizes
pub fn new_bipartite_cycle(graph: &Arc<Graph<F>>) -> Result<Self, SemiflowError> {
let n = graph.n_nodes();
if n < 4 {
return Err(SemiflowError::DomainViolation {
what: "StrangSplitGraph::new_bipartite_cycle: n_nodes >= 4 required",
value: n as f64,
});
}
if n % 2 != 0 {
return Err(SemiflowError::DomainViolation {
what: "StrangSplitGraph::new_bipartite_cycle: n_nodes must be even (odd cycles not bipartite)",
value: n as f64,
});
}
// For cycle: edges are (0,1),(1,2),...,(n-2,n-1),(n-1,0).
// Even-indexed undirected edges (0-based): (0,1),(2,3),(4,5),...
// Plus the wrap edge (n-1,0) has global index n-1.
// For even n: wrap edge has odd index (n-1 is odd) → goes to B.
let (lap_a, lap_b) = split_cycle_laplacians(graph);
// Order-2 sub-kernels for global order-2 convergence (see path comment).
let a = GraphHeatChernoff::with_zeta_a(Arc::new(lap_a));
let b = GraphHeatChernoff::with_zeta_a(Arc::new(lap_b));
Ok(Self {
a,
b,
commutes: true,
_phantom: core::marker::PhantomData,
})
}
/// Expose sub-Laplacians for numerical commutativity tests.
#[doc(hidden)]
#[must_use]
pub fn test_only_laplacians(&self) -> (&Laplacian<F>, &Laplacian<F>) {
(self.a.laplacian(), self.b.laplacian())
}
}
// ---------------------------------------------------------------------------
// ChernoffFunction<F> impl
// ---------------------------------------------------------------------------
impl<A, B, F: SemiflowFloat> ChernoffFunction<F> for StrangSplitGraph<A, B, F>
where
A: ChernoffFunction<F, S = GraphSignal<F>> + Clone,
B: ChernoffFunction<F, S = GraphSignal<F>> + Clone,
{
type S = GraphSignal<F>;
fn apply_into(
&self,
tau: F,
src: &GraphSignal<F>,
dst: &mut GraphSignal<F>,
scratch: &mut ScratchPool<F>,
) -> Result<(), SemiflowError> {
if !tau.is_finite() || tau < F::zero() {
return Err(SemiflowError::DomainViolation {
what: "StrangSplitGraph: tau must be finite and >= 0",
value: tau.to_f64().unwrap_or(f64::NAN),
});
}
let half_tau = half::<F>() * tau;
let n = src.len();
let graph_arc = src.graph_arc();
// R4 mitigation: pool-owned buffers, not src.clone().
// Leg 1: A(τ/2) src → tmp_a (pool-borrowed)
let buf_a: Vec<F> = scratch.take_graph_buf(n);
let mut tmp_a = GraphSignal::from_pool_buf(Arc::clone(&graph_arc), buf_a);
self.a.apply_into(half_tau, src, &mut tmp_a, scratch)?;
// Leg 2: B(τ) tmp_a → tmp_b (pool-borrowed)
let buf_b: Vec<F> = scratch.take_graph_buf(n);
let mut tmp_b = GraphSignal::from_pool_buf(Arc::clone(&graph_arc), buf_b);
self.b.apply_into(tau, &tmp_a, &mut tmp_b, scratch)?;
// Leg 3: A(τ/2) tmp_b → dst
self.a.apply_into(half_tau, &tmp_b, dst, scratch)?;
// Return pool buffers (reclaim the owned vecs from the transient signals).
let (reclaim_b, _) = tmp_b.into_pool_buf();
scratch.return_graph_buf(reclaim_b);
let (reclaim_a, _) = tmp_a.into_pool_buf();
scratch.return_graph_buf(reclaim_a);
Ok(())
}
fn order(&self) -> u32 {
if self.commutes {
// Commuting ⇒ Strang order-2 (capped at min of inner orders, 2).
core::cmp::min(self.a.order(), self.b.order()).min(2)
} else {
1
}
}
fn growth(&self) -> Growth<F> {
let ga = self.a.growth();
let gb = self.b.growth();
// Sub-multiplicative bound for palindromic product.
Growth {
multiplier: ga.multiplier * gb.multiplier * ga.multiplier,
omega: ga.omega + gb.omega + ga.omega,
}
}
}
// ---------------------------------------------------------------------------
// Bipartite edge-split helpers
// ---------------------------------------------------------------------------
/// Assemble two combinatorial Laplacians from disjoint edge sets of a path
/// graph by even/odd edge-parity 2-coloring.
///
/// Edge index `k` (0-based among undirected edges `(0,1),(1,2),...`):
/// - Even → `L_A`.
/// - Odd → `L_B`.
fn split_path_laplacians<F: SemiflowFloat>(graph: &Graph<F>) -> (Laplacian<F>, Laplacian<F>) {
split_laplacians_by_edge(graph, |edge_idx| edge_idx % 2 == 0)
}
/// Assemble two combinatorial Laplacians from disjoint edge sets of a cycle
/// graph by even/odd edge-parity 2-coloring.
///
/// For an even-length cycle graph `C_n`, the undirected edges are listed in
/// CSR traversal order. Even-indexed edges → A; odd-indexed → B.
fn split_cycle_laplacians<F: SemiflowFloat>(graph: &Graph<F>) -> (Laplacian<F>, Laplacian<F>) {
split_laplacians_by_edge(graph, |edge_idx| edge_idx % 2 == 0)
}
/// Generic edge-split: iterate the CSR representation and assign each
/// undirected edge to sub-graph A or B by `keep_in_a(undirected_edge_idx)`.
///
/// Builds two new [`Laplacian`]s (combinatorial) from the disjoint edge sets.
#[allow(clippy::cast_possible_truncation)] // node indices < 2^32 in all practical graphs
fn split_laplacians_by_edge<F: SemiflowFloat>(
graph: &Graph<F>,
keep_in_a: impl Fn(usize) -> bool,
) -> (Laplacian<F>, Laplacian<F>) {
let n = graph.n_nodes();
let mut edges_a: Vec<(u32, u32)> = Vec::new();
let mut edges_b: Vec<(u32, u32)> = Vec::new();
let mut edge_idx = 0_usize;
for u in 0..n {
let lo = graph.row_ptr()[u];
let hi = graph.row_ptr()[u + 1];
for k in lo..hi {
let v = graph.col_idx()[k] as usize;
// Only visit each undirected edge once (canonical u < v direction).
if u < v {
if keep_in_a(edge_idx) {
edges_a.push((u as u32, v as u32));
} else {
edges_b.push((u as u32, v as u32));
}
edge_idx += 1;
}
}
}
let lap_a = build_combinatorial_lap_from_edges(n, &edges_a);
let lap_b = build_combinatorial_lap_from_edges(n, &edges_b);
(lap_a, lap_b)
}
/// Build a combinatorial Laplacian from a list of undirected unit-weight edges.
fn build_combinatorial_lap_from_edges<F: SemiflowFloat>(
n: usize,
edges: &[(u32, u32)],
) -> Laplacian<F> {
// Reconstruct a sub-Graph then assemble via the standard path.
let edge_iter = edges.iter().map(|&(u, v)| (u, v, F::one()));
let sub_graph = Graph::from_edges(n, edge_iter)
.expect("split_laplacians: sub-graph build failed (should never happen)");
Laplacian::assemble_combinatorial(&sub_graph)
}
// ---------------------------------------------------------------------------
// Unit smoke tests
// ---------------------------------------------------------------------------
#[cfg(test)]
mod tests {
use alloc::sync::Arc;
use super::*;
use crate::{
graph::{Graph, Laplacian},
graph_signal::GraphSignal,
state::State,
};
#[test]
fn new_bipartite_path_rejects_small_graph() {
let g = Arc::new(Graph::<f64>::path(1));
assert!(StrangSplitGraph::new_bipartite_path(&g).is_err());
}
#[test]
fn new_bipartite_cycle_rejects_odd_n() {
let g = Arc::new(Graph::<f64>::cycle(5));
assert!(StrangSplitGraph::new_bipartite_cycle(&g).is_err());
}
#[test]
fn new_bipartite_cycle_rejects_small_n() {
let g = Arc::new(Graph::<f64>::cycle(3));
assert!(StrangSplitGraph::new_bipartite_cycle(&g).is_err());
}
#[test]
fn apply_at_zero_tau_returns_src() {
let g = Arc::new(Graph::<f64>::path(8));
let strang = StrangSplitGraph::new_bipartite_path(&g).unwrap();
let src = GraphSignal::from_fn(Arc::clone(&g), |i| f64::from(i) + 1.0);
let mut dst = src.clone();
let mut scratch = ScratchPool::<f64>::new();
strang
.apply_into(0.0, &src, &mut dst, &mut scratch)
.unwrap();
let mut diff = dst.clone();
diff.axpy_into(-1.0, &src);
assert!(diff.norm_sup() < 1e-14);
}
#[test]
fn order_commuting_is_two() {
let g = Arc::new(Graph::<f64>::path(8));
let strang = StrangSplitGraph::new_bipartite_path(&g).unwrap();
assert_eq!(strang.order(), 2);
}
#[test]
fn order_non_commuting_is_one() {
let g = Arc::new(Graph::<f64>::path(8));
let lap = Arc::new(Laplacian::assemble_combinatorial(&g));
let a = GraphHeatChernoff::new(Arc::clone(&lap));
let b = GraphHeatChernoff::new(Arc::clone(&lap));
let strang = StrangSplitGraph::new(a, b, false);
assert_eq!(strang.order(), 1);
}
}